Applying Computational Aesthetics to a Video Game Application Using Machine Learning

Date

2016-07-01

Author

ERDEM, Ali Naci
Halıcı, Uğur

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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The authors have developed a novel approach to evaluating the aesthetic quality of the camera direction in video game scenes rendered in real time while the game is being played. Their goal was to improve the visual aesthetic quality of computer-generated images using a computational aesthetics approach via a regression machine learning model. Considering the challenges and limitations involved, the proposed approach yielded promising prediction performance. The results show that near-real-time aesthetic analysis and visual improvement is possible using a virtual camera director.

Subject Keywords

Computer Graphics , Quality Assessment , Machine Learning , Computational Aesthetics , Regression Machine Learning , Aesthetic Analysis , Video Games

URI

https://hdl.handle.net/11511/40556

Collections

Department of Electrical and Electronics Engineering, Article